v1v2v3 (latest)

Separators and Adjustment Sets in Causal Graphs: Complete Criteria and an Algorithmic Framework

28 February 2018

Benito van der Zander

Papers citing "Separators and Adjustment Sets in Causal Graphs: Complete Criteria and an Algorithmic Framework"

21 / 21 papers shown

Title
Linear-Time Primitives for Algorithm Development in Graphical Causal Inference Marcel Wienöbst Sebastian Weichwald Leonard Henckel 26 0 0 18 Jun 2025
Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data Debo Cheng Ziqi Xu Jiuyong Li Lin Liu T. Le Xudong Guo Shichao Zhang CML 141 0 0 26 Nov 2024
Automating the Selection of Proxy Variables of Unmeasured Confounders Feng Xie Zhengming Chen Shanshan Luo Wang Miao Ruichu Cai Zhi Geng CML 69 2 0 25 May 2024
Faithlessness in Gaussian graphical models Mathias Drton Leonard Henckel Benjamin Hollering Pratik Misra 79 1 0 08 Apr 2024
Identifying Causal Effects Under Functional Dependencies Yizuo Chen Adnan Darwiche CML 62 1 0 07 Mar 2024
Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference Debo Cheng Yang Xie Ziqi Xu Jiuyong Li Lin Liu Jixue Liu Yinghao Zhang Zaiwen Feng CML BDL 66 1 0 08 Dec 2023
Confounder selection via iterative graph expansion F. R. Guo Qingyuan Zhao CML 59 6 0 12 Sep 2023
Classifying Causal Structures: Ascertaining when Classical Correlations are Constrained by Inequalities Shashaank Khanna Marina Maciel Ansanelli Matthew F Pusey Elie Wolfe 64 5 0 04 Aug 2023
Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs Marcel Wienöbst Benito van der Zander Maciej Liskiewicz CML 123 4 0 29 Nov 2022
Finding and Listing Front-door Adjustment Sets H. Jeong Jin Tian Elias Bareinboim 89 9 0 11 Oct 2022
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey Debo Cheng Jiuyong Li Lin Liu Jixue Liu T. Le CML 94 33 0 20 Aug 2022
Combinatorial Pure Exploration of Causal Bandits Nuoya Xiong Wei Chen CML 130 9 0 16 Jun 2022
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications Marcel Wienöbst Max Bannach Maciej Liskiewicz 61 10 0 05 May 2022
Invariant Ancestry Search Phillip B. Mogensen Nikolaj Thams J. Peters 96 5 0 02 Feb 2022
A note on efficient minimum cost adjustment sets in causal graphical models Ezequiel Smucler A. Rotnitzky CML 68 8 0 06 Jan 2022
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables Jakob Runge CML 99 27 0 20 Feb 2021
Efficient adjustment sets in causal graphical models with hidden variables Ezequiel Smucler F. Sapienza A. Rotnitzky CML OffRL 100 33 0 22 Apr 2020
AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms Mohammad Ali Javidian Marco Valtorta Pooyan Jamshidi 77 12 0 24 Feb 2020
Towards unique and unbiased causal effect estimation from data with hidden variables Debo Cheng Jiuyong Li Lin Liu Kui Yu T. Le Jixue Liu CML 60 0 0 24 Feb 2020
Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach Santtu Tikka Antti Hyttinen Juha Karvanen CML 174 31 0 04 Feb 2019
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs Emilija Perković J. Textor M. Kalisch Marloes H. Maathuis OffRL 95 149 0 22 Jun 2016